Zhihan Zhang

According to our database, Zhihan Zhang authored at least 37 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks.

Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang

Trans. Mach. Learn. Res., 2025

MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems.

Zifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

IHEval: Evaluating Language Models on Following the Instruction Hierarchy.

Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations.

Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph.

Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Aligning Large Language Models with Implicit Preferences from User-Generated Content.

Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.

Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra

CoRR, 2024

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.

Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang

CoRR, 2024

MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.

Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu

CoRR, 2024

Large Language Models Can Self-Correct with Minimal Effort.

Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

CoRR, 2024

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training.

Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang

CoRR, 2024

TOWER: Tree Organized Weighting for Evaluating Complex Instructions.

Noah Ziems, Zhihan Zhang, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.

Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models Can Self-Correct with Key Condition Verification.

Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.

Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning.

Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

IEEE Trans. Knowl. Data Eng., 2023

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.

Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang

Trans. Assoc. Comput. Linguistics, 2023

Improving Language Models via Plug-and-Play Retrieval Feedback.

Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal

CoRR, 2023

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pre-training Language Models for Comparative Reasoning.

Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.

Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Large Language Models are Built-in Autoregressive Search Engines.

Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations.

Gang Liu, Zhihan Zhang, Zheng Ning, Meng Jiang

CoRR, 2022

A Unified Encoder-Decoder Framework with Entity Memory.

Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.

Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.

Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Domain-specific meta-embedding with latent semantic structures.

Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang

Inf. Sci., 2021

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training.

Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.

Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang

CoRR, 2020

DCA: Diversified Co-attention Towards Informative Live Video Commenting.

Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li

Proceedings of the Natural Language Processing and Chinese Computing, 2020

2019

Diversified Co-Attention towards Informative Live Video Commenting.

Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li

CoRR, 2019

CTGA: Graph-based Biomedical Literature Search.

Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.

Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019